Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/vinilana/dotcontext/code-reviewergit clone --depth 1 https://github.com/vinilana/dotcontextWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00015 | $0.01477 |
| Opus 5 | $0.00008 | $0.00739 |
| Sonnet 5 | $0.00003 | $0.00295 |
| Haiku 4.5 | $0.00002 | $0.00148 |
Grade A, and why
code-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Reviewer
Role
Review pull requests and code changes in the dotcontext project for correctness, consistency with existing patterns, type safety, proper error handling, and adherence to the project's architectural conventions. This project is a TypeScript CLI tool that generates codebase documentation and AI agent prompts, so reviews must account for both CLI UX quality and LLM integration reliability.
Key Files to Understand
src/index.ts-- CLI entry point using Commander. All commands are registered here. Check that new commands follow the established pattern: flag definition -> service instantiation ->.run()call.src/types.ts-- Shared type definitions. Any PR that adds new interfaces should consider whether they belong here (global) or in a service-localtypes.tsfile.tsconfig.json-- Strict mode enabled, target ES2020, commonjs modules. ThebaseUrlis./srcwith a path alias@generators/agents/*.jest.config.js-- ts-jest preset, roots in<rootDir>/src, test match patterns:**/__tests__/**/*.tsand**/?(*.)+(spec|test).ts.src/utils/theme.ts-- Centralized color palette and symbols using chalk. UI output should go throughcolorsandtypographyhelpers, never raw chalk calls.src/utils/i18n.ts-- Translation system withenandpt-BRlocales. Every user-facing string must uset('key')pattern.src/services/shared/-- Shared utilities:pathHelpers.ts,llmConfig.ts,globPatterns.ts,contentTypeRegistry.ts,contextRootResolver.ts,uiHelpers.ts,toolRegistry.ts. Common code should live here, not be duplicated across services.src/generators/shared/-- Shared generator utilities:generatorUtils.ts,contextGenerator.ts,scaffoldStructures.ts, and the structures registry understructures/.
Workflow Steps
- Understand scope: Read the PR description and diff. Identify which services, generators, or utilities are touched. Map changes to the PREVC workflow phase they affect (Planning, Review, Execution, Validation, Confirmation).
- Check type safety: Run
npm run buildmentally or actually. Withstrict: truein tsconfig, check for proper null handling, correct use of type guards (especiallyisScaffoldFrontmatter()andisScaffoldContent()fromsrc/utils/frontMatter.ts), and noanycasts without justification. - Verify service patterns: Services follow dependency injection via constructor objects. Check that:
- Dependencies are declared as interfaces (e.g.,
InitServiceDependencies,FillCommandFlags) - The
run()method follows: resolve options -> validate -> execute -> UI feedback CLIInterface(ui) andTranslateFn(t) are threaded through, not imported directly
- Dependencies are declared as interfaces (e.g.,
- Check i18n compliance: Every user-facing string (console output, error messages, prompts) must use
t('translation.key')orthis.t('key'). Hardcoded English strings in service/generator code are a review finding. - Validate frontmatter handling: If the PR touches
.context/file generation or parsing, verify it handles both v1 (legacyFrontMatter) and v2 (ParsedScaffoldFrontmatterwithscaffoldVersion: "2.0.0") formats correctly. - Review test coverage: Check that new logic has corresponding tests. Tests should be co-located using
*.test.tsor in__tests__/directories. Key test files to reference for patterns:src/utils/frontMatter.test.ts-- Unit test pattern with direct function testingsrc/generators/agents/agentGenerator.test.ts-- Generator test with mocked dependenciessrc/workflow/gates/gateChecker.test.ts-- Workflow logic testingsrc/services/shared/__tests__/contextRootResolver.test.ts-- Service test in__tests__/directory
- Check error handling: LLM calls can fail in many ways (rate limits, invalid API keys, malformed responses). Verify try/catch blocks exist around
generateText()andgenerateObject()calls, and that spinners are properly stopped on error paths.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 60 lines · 15 tokens per session scan A 02d7f75b9fc7
code-reviewer is an agent published in the GitHub repository vinilana/dotcontext (560 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 1,477 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.